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  <div class="section" id="numpy-split">
<h1>numpy.split<a class="headerlink" href="#numpy-split" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="numpy.split">
<code class="sig-prename descclassname">numpy.</code><code class="sig-name descname">split</code><span class="sig-paren">(</span><em class="sig-param">ary</em>, <em class="sig-param">indices_or_sections</em>, <em class="sig-param">axis=0</em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/numpy/numpy/blob/v1.18.1/numpy/lib/shape_base.py#L797-L872"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#numpy.split" title="Permalink to this definition">¶</a></dt>
<dd><p>Split an array into multiple sub-arrays as views into <em class="xref py py-obj">ary</em>.</p>
<dl class="field-list">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl>
<dt><strong>ary</strong><span class="classifier">ndarray</span></dt><dd><p>Array to be divided into sub-arrays.</p>
</dd>
<dt><strong>indices_or_sections</strong><span class="classifier">int or 1-D array</span></dt><dd><p>If <em class="xref py py-obj">indices_or_sections</em> is an integer, N, the array will be divided
into N equal arrays along <em class="xref py py-obj">axis</em>.  If such a split is not possible,
an error is raised.</p>
<p>If <em class="xref py py-obj">indices_or_sections</em> is a 1-D array of sorted integers, the entries
indicate where along <em class="xref py py-obj">axis</em> the array is split.  For example,
<code class="docutils literal notranslate"><span class="pre">[2,</span> <span class="pre">3]</span></code> would, for <code class="docutils literal notranslate"><span class="pre">axis=0</span></code>, result in</p>
<blockquote>
<div><ul class="simple">
<li><p>ary[:2]</p></li>
<li><p>ary[2:3]</p></li>
<li><p>ary[3:]</p></li>
</ul>
</div></blockquote>
<p>If an index exceeds the dimension of the array along <em class="xref py py-obj">axis</em>,
an empty sub-array is returned correspondingly.</p>
</dd>
<dt><strong>axis</strong><span class="classifier">int, optional</span></dt><dd><p>The axis along which to split, default is 0.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl class="simple">
<dt><strong>sub-arrays</strong><span class="classifier">list of ndarrays</span></dt><dd><p>A list of sub-arrays as views into <em class="xref py py-obj">ary</em>.</p>
</dd>
</dl>
</dd>
<dt class="field-odd">Raises</dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>ValueError</strong></dt><dd><p>If <em class="xref py py-obj">indices_or_sections</em> is given as an integer, but
a split does not result in equal division.</p>
</dd>
</dl>
</dd>
</dl>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<dl class="simple">
<dt><a class="reference internal" href="numpy.array_split.html#numpy.array_split" title="numpy.array_split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">array_split</span></code></a></dt><dd><p>Split an array into multiple sub-arrays of equal or near-equal size.  Does not raise an exception if an equal division cannot be made.</p>
</dd>
<dt><a class="reference internal" href="numpy.hsplit.html#numpy.hsplit" title="numpy.hsplit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hsplit</span></code></a></dt><dd><p>Split array into multiple sub-arrays horizontally (column-wise).</p>
</dd>
<dt><a class="reference internal" href="numpy.vsplit.html#numpy.vsplit" title="numpy.vsplit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">vsplit</span></code></a></dt><dd><p>Split array into multiple sub-arrays vertically (row wise).</p>
</dd>
<dt><a class="reference internal" href="numpy.dsplit.html#numpy.dsplit" title="numpy.dsplit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dsplit</span></code></a></dt><dd><p>Split array into multiple sub-arrays along the 3rd axis (depth).</p>
</dd>
<dt><a class="reference internal" href="numpy.concatenate.html#numpy.concatenate" title="numpy.concatenate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">concatenate</span></code></a></dt><dd><p>Join a sequence of arrays along an existing axis.</p>
</dd>
<dt><a class="reference internal" href="numpy.stack.html#numpy.stack" title="numpy.stack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stack</span></code></a></dt><dd><p>Join a sequence of arrays along a new axis.</p>
</dd>
<dt><a class="reference internal" href="numpy.hstack.html#numpy.hstack" title="numpy.hstack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hstack</span></code></a></dt><dd><p>Stack arrays in sequence horizontally (column wise).</p>
</dd>
<dt><a class="reference internal" href="numpy.vstack.html#numpy.vstack" title="numpy.vstack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">vstack</span></code></a></dt><dd><p>Stack arrays in sequence vertically (row wise).</p>
</dd>
<dt><a class="reference internal" href="numpy.dstack.html#numpy.dstack" title="numpy.dstack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dstack</span></code></a></dt><dd><p>Stack arrays in sequence depth wise (along third dimension).</p>
</dd>
</dl>
</div>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mf">9.0</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
<span class="go">[array([0.,  1.,  2.]), array([3.,  4.,  5.]), array([6.,  7.,  8.])]</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mf">8.0</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">10</span><span class="p">])</span>
<span class="go">[array([0.,  1.,  2.]),</span>
<span class="go"> array([3.,  4.]),</span>
<span class="go"> array([5.]),</span>
<span class="go"> array([6.,  7.]),</span>
<span class="go"> array([], dtype=float64)]</span>
</pre></div>
</div>
</dd></dl>

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